I tried to read a *.bcrf file generated by SPIP tool and intended to save it back to a *.bcrf file as exactly same content as the original. But the results seems not going well. Here is the link description of the bcrf file format: http://www.imagemet.com/WebHelp6/Default.htm#Reference_Guide/BCR_STM_File_Format.htm The bcrf file I tried to read: bcrf file
import struct
def read_bcrf_file(filename):
header_size = 2048
data_size = 900 * 900 * 4 # Assuming 32-bit floating point data (bcrf format)
with open(filename, 'rb') as file:
# Read the header
header = file.read(header_size)
# Parse the header values
header_dict = {}
decoded_header = header.decode('utf-16').replace('\x00', '')
for line in decoded_header.split('\n'):
if '=' in line:
key, value = line.strip().split('=')
header_dict[key.strip()] = value.strip()
# Read the data
data = file.read(data_size)
return header_dict, data
def convert_data_to_float(data):
float_data = struct.unpack('<' + 'f' * (len(data) // 4), data)
return float_data
def write_bcr_file(filename, header_dict, data):
header_size = 2048
# Create the header string
header = ""
for key, value in header_dict.items():
header += key + " = " + value + "\n"
# Pad the header to the required size
header = header.ljust(header_size, '\x00')
with open(filename, 'wb') as file:
# Write the header
file.write(header.encode('utf-16')[2:])
# Write the data
data_bytes = struct.pack('<' + 'f' * len(data), *data)
file.write(data_bytes)
# Example usage
header, binary_data = read_bcrf_file('test_file.bcrf')
data = convert_data_to_float(binary_data)
write_bcr_file('new.bcrf', header_dict=header, data=data)
# Process the data as needed
header = header.ljust(header_size, '\x00') this line is wrong, try my code
import struct
def read_bcrf_file(filename):
header_size = 4096
data_size = 900 * 900 * 4 # Assuming 32-bit floating point data (bcrf format)
with open(filename, 'rb') as file:
# Read the header
header = file.read(header_size)
# Parse the header values
header_dict = {}
decoded_header = header.decode('utf-16le')
for line in decoded_header.split('\n'):
if '=' in line:
key, value = line.strip().split('=')
header_dict[key.strip()] = value.strip()
# Read the data
data = file.read(data_size)
return header_dict, data
def convert_data_to_float(data):
float_data = struct.unpack('<' + 'f' * (len(data) // 4), data)
# print(float_data[:10])
return float_data
def write_bcr_file(filename, header_dict, data):
header_size = 4096
# Create the header string
header = ""
for key, value in header_dict.items():
header += key + " = " + value + "\n"
# Pad the header to the required size
header = header.ljust(header_size//2, '%')
with open(filename, 'wb') as file:
# Write the header
file.write(header.encode('utf-16le'))
# Write the data
data_bytes = struct.pack('<' + 'f' * len(data), *data)
file.write(data_bytes)
# Example usage
header, binary_data = read_bcrf_file('test_file.bcrf')
data = convert_data_to_float(binary_data)
write_bcr_file('new.bcrf', header_dict=header, data=data)
# Process the data as needed